水电站参与电力市场交易的月度结算收益优化研究OA

To faciliate the optimal allocation and utilization of hydropower resources by giving full play to the regulatory mecha-nism of electricity markets,this study takes the maximization of monthly settlement revenue of hydropower plants as the objective,and explicitly accounts for revenue recovery charges for medium-and long-term(MLT)contract deviations.First,conditional value-at-risk(CVaR)is adopted to quantify the loss risk of monthly settlement revenue under the impact of real-time market electricity prices,and an improved golden-section method is employed to determine the optimal confidence level.Second,a monthly settlement revenue optimization model for hydropower plants participating in electricity market trading is developed on the basis of jointly optimizing intra-month contract electricity and real-time market bid electricity.Numerical results show that,giv-en the same stock of MLT contracts,compared with the conventional optimization strategy that minimizes revenue recovery charges for MLT contract deviations,the proposed strategy increases monthly settlement revenue by14.4%,reduces the mean revenue re-covery charge by 44.98%,and raises the minimum monthly settlement revenue under extreme scenarios by CNY 2.264 1 million.These results verify the feasibility and superiority of the proposed model and provide references for hydropower plants participating in electricity market trading.